36 citations · 49 across the 6 of their papers we have counts for
7 papers
Irreducible Geometry of Higher-Order Correlator Families
Kaito Kobayashi
Programmable quantum simulators are beginning to access correlators of increasing complexity, ranging from four-point out-of-time-ordered correlators to even higher-order many-body…
Maximum Cluster Diameter in Non-Critical Bond Percolation
Kaito Kobayashi
In this paper, we study independent (Bernoulli) bond percolation in dimensions , focusing on the maximum diameter of finite clusters in the non-critical regime ($p\neq p_c…
Holographic Representation of One-Dimensional Many-Body Quantum States via Isometric Tensor Networks
Kaito Kobayashi, Benjamin Sappler, Frank Pollmann
Tensor network methods, most prominently matrix product states (MPS), have become fundamental tools in modern quantum many-body physics. While MPS and extensions like the multiscal…
Edge of Many-Body Quantum Chaos in Quantum Reservoir Computing
Kaito Kobayashi, Yukitoshi Motome
Reservoir computing (RC) is a machine learning paradigm that harnesses dynamical systems as computational resources. In its quantum extension -- quantum reservoir computing (QRC) -…
Feedback-driven quantum reservoir computing for time-series analysis
Kaito Kobayashi, Keisuke Fujii, Naoki Yamamoto
Quantum reservoir computing (QRC) is a highly promising computational paradigm that leverages quantum systems as a computational resource for nonlinear information processing. Whil…
Quantum reservoir probing of quantum phase transitions
Kaito Kobayashi, Yukitoshi Motome
Quantum phase transitions are highly remarkable phenomena manifesting in quantum many-body systems. However, their precise identifications in equilibrium systems pose significant t…
Video recognition by physical reservoir computing in magnetic materials
Kaito Kobayashi, Yukitoshi Motome
Nonlinear spin dynamics in magnetic materials offers a promising avenue for implementing physical reservoir computing, one of the most accomplished brain-inspired frameworks for in…